The Experts below are selected from a list of 29508 Experts worldwide ranked by ideXlab platform

Tuan Ngo - One of the best experts on this subject based on the ideXlab platform.

  • A review on Modular Construction for high-rise buildings
    Structures, 2020
    Co-Authors: Huu-tai Thai, Tuan Ngo
    Abstract:

    Abstract Modular Construction is considered as a game-changing technology since it offers faster Construction, safer manufacturing, better quality control, and lower environmental impacts compared with the traditional onsite Construction. These benefits can be maximised in high-rise buildings due to their inherently topological Modular form and the increased number of repeatable modules. However, current applications of Modular Construction for high-rise buildings are very limited due to the lack of strong structural systems and joining techniques to ensure structural integrity, overall stability, and robustness of an entirely Modular building. In addition, the unavailability of design guidelines also inhibits the Construction industry in implementing such technology. With recent advancements in structural systems and materials, there is great potential for real world applications of Modular Construction in high-rise buildings. This paper presents a critical review of recent innovations in Modular Construction technology for high-rise buildings with an emphasis on structural systems, joining techniques, progressive collapse and structural robustness. The developments of design codes for Modular Construction are also discussed. The paper concludes by highlighting the technical challenges that hinder the widespread adoption of Modular Construction, and proposing potential solutions for future research. This review paper is expected to be a complete reference for experts, researchers and professionals in this field of study.

Aladdin Alwisy - One of the best experts on this subject based on the ideXlab platform.

  • Two-period based carbon-economy equilibrium strategy for Modular Construction supply planning
    Journal of Cleaner Production, 2021
    Co-Authors: Mengyuan Zhu, Jingqi Dai, Rui Liu, Aladdin Alwisy
    Abstract:

    Abstract The integration of modern prefabrication techniques into traditional stick-built Construction has attracted considerable attention as a solution to reducing Construction industry carbon emissions. However, no approach has been developed to holistically quantify and optimize the carbon reduction/economic costs trade-off for the Modular Construction supply planning (MCSP). This paper introduces a two-period based equilibrium strategy that fully considers the procurement-prefabrication-assembly logistics optimization to determine an economic costs/environmental impact balance in Modular Construction. The proposed methodology is capable of optimizing the preparation and Construction schemes and dynamic transportation arrangements under multiple carbon-economy preference scenarios. By employing uncertain parameters to account for the material and delivery cost fluctuations, the model can accurately depict the industry characteristics of Modular Construction supply. A case study from Florida is then conducted to validate the practicality and robustness of the equilibrium strategy. The applications indicate that the proposed methodology can assist the Construction enterprises to systematically reduce carbon emissions and serve as decision support for Modular Construction supply planning.

  • integrated bim lean base production line schedule model for Modular Construction manufacturing
    Construction Research Congress 2012, 2012
    Co-Authors: Mansooreh Moghadam, Aladdin Alwisy, Mohamed Alhussein
    Abstract:

    Building Information Modeling (BIM) and lean are two distinct concepts used in the Construction industry which are independently applied to the Construction process and provide profound impacts. Evidence shows potential gain if both BIM and lean are integrated. This research proposes an integrated model that applies both BIM and lean on a Modular Construction manufacturing (MCM) process and gains the benefits of both concepts. A computer tool for drafting the Modular Construction process called MCMPro was expanded to generate the building components’ schedule. The Value Stream Map (VSM) of the factory is generated based on the components’ schedule through a proposed Integrated Process Improvement (IPI) method using a set of mix lean principles to reduce waste over a broad range of factory activities. A simulation model using Simphony.NET 3.5 is developed to run the generated VSM and produces the results. The proposed methodology is validated by a case study, which is a Modular building located in Edmonton, AB, and illustrates the effectiveness of the proposed methodology.

  • Integrated BIM/Lean Base Production Line Schedule Model for Modular Construction Manufacturing
    Construction Research Congress 2012, 2012
    Co-Authors: Mansooreh Moghadam, Aladdin Alwisy, Mohamed Al-hussein
    Abstract:

    Building Information Modeling (BIM) and lean are two distinct concepts used in the Construction industry which are independently applied to the Construction process and provide profound impacts. Evidence shows potential gain if both BIM and lean are integrated. This research proposes an integrated model that applies both BIM and lean on a Modular Construction manufacturing (MCM) process and gains the benefits of both concepts. A computer tool for drafting the Modular Construction process called MCMPro was expanded to generate the building components’ schedule. The Value Stream Map (VSM) of the factory is generated based on the components’ schedule through a proposed Integrated Process Improvement (IPI) method using a set of mix lean principles to reduce waste over a broad range of factory activities. A simulation model using Simphony.NET 3.5 is developed to run the generated VSM and produces the results. The proposed methodology is validated by a case study, which is a Modular building located in Edmonton, AB, and illustrates the effectiveness of the proposed methodology.

Gregor Engels - One of the best experts on this subject based on the ideXlab platform.

  • Modular Construction of context specific test case migration methods
    International Conference on Model-Driven Engineering and Software Development, 2019
    Co-Authors: Ivan Jovanovikj, Enes Yigitbas, Marvin Grieger, Stefan Sauer, Gregor Engels
    Abstract:

    Migration of test cases has a twofold benefit in software migration projects: reuse of valuable knowledge as well as time and cost savings. The diversity of software migration project contexts require a flexible and Modular Construction method to address several aspects like different system and test environments or the impact of the system changes on the test cases. When an inappropriate migration method is used, it may increase the effort and the costs and also decrease the overall software quality. Therefore, a critical task in test case migration is to provide a transformation method which fits the context. To address this problem, in this paper, we present a framework that enables a Modular Construction of context-specific migration methods for test cases by assembling predefined building blocks. Our approach builds upon an existing framework for Modular Construction of software transformation methods and consists of a method base and a method engineering process. Method fragments are the atomic building blocks of a migration method, whereas method patterns encode specific migration strategies. The guidance on development and enactment of migration methods is provided by the method engineering process. We evaluate our approach in an industrial case study where a part of the Eclipse Modeling Framework was migrated from Java to C#.

  • MODELSWARD - Modular Construction of Context-Specific Test Case Migration Methods
    Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development, 2019
    Co-Authors: Ivan Jovanovikj, Enes Yigitbas, Marvin Grieger, Stefan Sauer, Gregor Engels
    Abstract:

    Migration of test cases has a twofold benefit in software migration projects: reuse of valuable knowledge as well as time and cost savings. The diversity of software migration project contexts require a flexible and Modular Construction method to address several aspects like different system and test environments or the impact of the system changes on the test cases. When an inappropriate migration method is used, it may increase the effort and the costs and also decrease the overall software quality. Therefore, a critical task in test case migration is to provide a transformation method which fits the context. To address this problem, in this paper, we present a framework that enables a Modular Construction of context-specific migration methods for test cases by assembling predefined building blocks. Our approach builds upon an existing framework for Modular Construction of software transformation methods and consists of a method base and a method engineering process. Method fragments are the atomic building blocks of a migration method, whereas method patterns encode specific migration strategies. The guidance on development and enactment of migration methods is provided by the method engineering process. We evaluate our approach in an industrial case study where a part of the Eclipse Modeling Framework was migrated from Java to C#.

Panagiotis Angeloudis - One of the best experts on this subject based on the ideXlab platform.

  • Optimal logistics planning for Modular Construction using multi-stage stochastic programming
    Transportation Research Procedia, 2020
    Co-Authors: Pei Yuan Hsu, Marco Aurisicchio, Panagiotis Angeloudis
    Abstract:

    Abstract The Modular Construction method has been adopted extensively by the Construction sector for pursuing higher building quality and better project efficiency. However, the employment of this new Construction method has not only altered the definition of Construction supply chains, but also poses new challenges to the logistics system which has conventionally focused on raw material transportation. This challenge is exacerbated in the transport and inventory aspects when the project is executed in urban settings, owing to the frequent traffic congestion, crowded environment, as well as the bulkiness and delicacy of finished modules. This study develops a multi-stage stochastic programming model for identifying the optimal supply chain configuration for the Modular Construction method. Site demand is considered to be stochastic, forcing project managers to make several operational decisions at multiple time points during project execution. The developed model can provide the best production, transportation and inventory plans, as well as the most favourable initial inventory preparation schemes. Furthermore, we have proven that the implementation of multi-stage stochastic programming model can yield more economical and risk-averse solutions than the two-stage stochastic programming approach.

  • Optimal logistics planning for Modular Construction using two-stage stochastic programming
    Automation in Construction, 2018
    Co-Authors: Pei Yuan Hsu, Panagiotis Angeloudis, Marco Aurisicchio
    Abstract:

    The Construction sector is currently undergoing a shift from stick-built Construction to Modular building systems that take advantage of modern prefabrication techniques. Long established in-situ Construction practices are thus being replaced by processes imported from the manufacturing sector, where component fabrication takes place within a factory environment. As a result of this transformation, current Construction supply chains, which have focused on the delivery of raw materials to sites, are no longer apt and need to make way to new, strengthened, and time-critical logistics systems. The aim of this study is to establish a mathematical model for the optimisation of logistics processes in Modular Construction covering three tiers of operation: manufacturing, storage and assembly. Previous studies have indicated that Construction site delays constitute the largest cause of schedule deviations. Using the model outlined in this paper we seek to determine how factory manufacturing and inventory management should react to variations in the demand on Construction sites. A two-stage stochastic programming model is developed to capture all possible demand variations on site. The model is evaluated using a case study from the residential Construction sector. The application shows that the model is effective and can serve as decision support to optimise Modular Construction logistics.

Marco Aurisicchio - One of the best experts on this subject based on the ideXlab platform.

  • Optimal logistics planning for Modular Construction using multi-stage stochastic programming
    Transportation Research Procedia, 2020
    Co-Authors: Pei Yuan Hsu, Marco Aurisicchio, Panagiotis Angeloudis
    Abstract:

    Abstract The Modular Construction method has been adopted extensively by the Construction sector for pursuing higher building quality and better project efficiency. However, the employment of this new Construction method has not only altered the definition of Construction supply chains, but also poses new challenges to the logistics system which has conventionally focused on raw material transportation. This challenge is exacerbated in the transport and inventory aspects when the project is executed in urban settings, owing to the frequent traffic congestion, crowded environment, as well as the bulkiness and delicacy of finished modules. This study develops a multi-stage stochastic programming model for identifying the optimal supply chain configuration for the Modular Construction method. Site demand is considered to be stochastic, forcing project managers to make several operational decisions at multiple time points during project execution. The developed model can provide the best production, transportation and inventory plans, as well as the most favourable initial inventory preparation schemes. Furthermore, we have proven that the implementation of multi-stage stochastic programming model can yield more economical and risk-averse solutions than the two-stage stochastic programming approach.

  • Optimal logistics planning for Modular Construction using two-stage stochastic programming
    Automation in Construction, 2018
    Co-Authors: Pei Yuan Hsu, Panagiotis Angeloudis, Marco Aurisicchio
    Abstract:

    The Construction sector is currently undergoing a shift from stick-built Construction to Modular building systems that take advantage of modern prefabrication techniques. Long established in-situ Construction practices are thus being replaced by processes imported from the manufacturing sector, where component fabrication takes place within a factory environment. As a result of this transformation, current Construction supply chains, which have focused on the delivery of raw materials to sites, are no longer apt and need to make way to new, strengthened, and time-critical logistics systems. The aim of this study is to establish a mathematical model for the optimisation of logistics processes in Modular Construction covering three tiers of operation: manufacturing, storage and assembly. Previous studies have indicated that Construction site delays constitute the largest cause of schedule deviations. Using the model outlined in this paper we seek to determine how factory manufacturing and inventory management should react to variations in the demand on Construction sites. A two-stage stochastic programming model is developed to capture all possible demand variations on site. The model is evaluated using a case study from the residential Construction sector. The application shows that the model is effective and can serve as decision support to optimise Modular Construction logistics.